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Regulation of Apoptosis by E1A and Myc Oncoproteins

2000· review· en· W4244201760 on OpenAlexaff
David G. Breckenridge, Gordon C. Shore

Bibliographic record

VenueCritical Reviews in Eukaryotic Gene Expression · 2000
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell death mechanisms and regulation
Canadian institutionsMcGill University
Fundersnot available
KeywordsRegulatorApoptosisCell biologyCell cycleCell cycle checkpointSignal transductionCell growthChemistryCell cycle progressionTransformation (genetics)Cancer researchGeneBiologyBiochemistry

Abstract

fetched live from OpenAlex

E1A and c-myc are oncogenes that can deregulate the cell cycle and promote transformation under conditions where normal cell-cycle checkpoints are inactivated. In situations where cell-cycle checkpoints are intact, the E1A and c-Myc proteins potently induce apoptosis, a property that is believed to be the end result of a cellular response to uncontrolled growth-promoting signals. p53 is a key regulator of E1A and c-myc-induced apoptosis and, together with the oncoproteins, may transcriptionally activate numerous genes whose products influence, or are themselves, members of the core apoptotic machinery. The upstream signaling events and the ultimate apoptotic pathways activated by E1A and c-Myc are discussed in this review.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.327
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2000
Admission routes1
Has abstractyes

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